Su Bo, Chen Hao
Shanghai Pulmonary Disease Hospital, Shanghai.
Zhongguo Yi Liao Qi Xie Za Zhi. 2005 May;29(3):167-9.
The Automatic Fluorescence Chemosensitivity Analysis System (AFCAS), on the basis of image analysis, image recognition and database technologies, automatically collects the microscopic fluorescent images, inputs patient information, processes images, counts cell number, analyzes statistical data, saves and screens the reports and thus it is able to provide effective informations for assisting medical diagnosis and treatments of tumors or cancers. The AFCAS System adopts the image recognition technology of Region Chain Code and Bayesian Classification and ADO-Based database technology.
自动荧光化学敏感性分析系统(AFCAS)基于图像分析、图像识别和数据库技术,自动采集微观荧光图像,输入患者信息,处理图像,计数细胞数量,分析统计数据,保存并筛选报告,从而能够为肿瘤或癌症的辅助医疗诊断和治疗提供有效信息。AFCAS系统采用区域链码图像识别技术、贝叶斯分类技术以及基于ADO的数据库技术。